# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import pytest

from sparseml.transformers import SparseAutoConfig


@pytest.mark.parametrize(
    "pretrained_model_name_or_path",
    [
        "roneneldan/TinyStories-1M",
        "mgoin/TinyStories-1M-ds",
        "zoo:codegen_mono-350m-bigpython_bigquery_thepile-pruned50_quantized",
    ],
)
def test_from_pretrained(tmp_path, pretrained_model_name_or_path):
    assert SparseAutoConfig.from_pretrained(
        pretrained_model_name_or_path, cache_dir=tmp_path
    )
